Prof. Dr. Frederick Klauschen
Prof. Dr. Frederick Klauschen
Research Group Lead / Charité
Research Grouplead | BIFOLD
Director | Pathologisches Institut, Ludwig-Maximilian-Universität München
Group Leader
Institute of Pathology
Charité UNIVERSITÄTSMEDIZIN BERLIN
| 2012 | Novartis Pathology-Oncology Award |
| 2011 | Human Frontier Science Program Young Investigator Award |
| 2004 | NIH Postdoctoral Fellowship Award |
Systems biological integration of proteogenomic profiles and histological images through bioinformatics and machine learning with the goal to better understand and predict pathological mechanisms in tumors and finally, to better diagnose and treat cancer.
- German Pathological Society
- International Academy of Pathology
- German Physical Society
Giulia Pesch, Ignazio Piseddu, Jan Gaertig, Nora Kramer, Rafaela Kramer, Thomas U. Schulz, Maximilian Zwiebel, Stephan Ledderose, Jimmy Retzlaff, Markus Eckstein, Georg Schett, Claudia Kammerbauer, Christina Schmitt, Joerg Kumbrink, Michael Erdmann, Wolfgang Kruis, Michael Dougan, Julia Mayerle, Lars E. French, Julio Vera, Thierry M. Nordmann, Matthias Mann, Frederick Klauschen, David Anz, Lucie Heinzerling
Deep Immune Phenotyping Reveals Distinct Immunopathogenesis in Checkpoint Inhibitor–Induced Colitis Compared with Ulcerative Colitis
Philipp Jurmeister, Maximilian Leitheiser, Linda Bergmayr, Emma Payá Capilla, Liliana H Mochmann, Yauheniya Zhdanovich, Fabian Engelhardt-Schott, Konstanze Schleich, Doreen Klingler, Edgar Chimal, Cornelia M Focke, Gerben E Breimer, Ilse van Engen van Grunsven, Andreas von Deimling, David Capper, Frederick Klauschen, Stephan Ihrler
Biphasic Myoepithelial Carcinoma With 5p/5q Loss: Morphomolecular Characterization and Provisional Designation of a Proposed Novel Salivary Tumor Entity
David Jacob Drexlin, Jonas Dippel, Julius Hense, Niklas Prenißl, Grégoire Montavon, Frederick Klauschen, Klaus-Robert Müller
MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification
Tancredi Massimo Pentimalli, Simon Schallenberg, Daniel León-Periñán, Ivano Legnini, Ilan Theurillat, Gwendolin Thomas, Anastasiya Boltengagen, Sonja Fritzsche, Jose Nimo, Lukas Ruff, Gabriel Dernbach, Philipp Jurmeister, Sarah Murphy, Mark T. Gregory, Yan Liang, Michelangelo Cordenonsi, Stefano Piccolo, Fabian Coscia, Andrew Woehler, Nikos Karaiskos, Frederick Klauschen, Nikolaus Rajewsky
Combining spatial transcriptomics and ECM imaging in 3D for mapping cellular interactions in the tumor microenvironment
Frederick Klauschen, Jonas Dippel, Klaus-Robert Müller
Foundation models in pathology
AI in medicine: new approach for more efficient diagnostics
Researchers from LMU, BIFOLD, and Charité have developed a new AI tool that uses imaging data to also detect less frequent diseases of the gastrointestinal tract. In contrast to conventional models, the new AI only needs training data from common findings to detect deviations.
AI facilitates breakthrough in cancer diagnostics
So-called sinonasal undifferentiated carcinomas (SNUCs) are extremely difficult to diagnose. An interdisciplinary team of researchers has developed an AI tool that reliably distinguishes tumors on the basis of chemical DNA modifications
An overview of the current state of research in BIFOLD
Since the official announcement of the Berlin Institute for the Foundations of Learning and Data in January 2020, BIFOLD researchers achieved a wide array of advancements in the domains of Machine Learning and Big Data Management as well as in a variety of application areas by developing new Systems and creating impactfull publications. The following summary provides an overview of recent research activities and successes.